August 15, 2022
The Australian government has been busy on the supercomputing front. In just the last two weeks, the Australian Department of Defence and the Australian Bureau of Meteorology have both revealed major supercomputing updates. The Department of Defence, for its part, unveiled a new supercomputer: Taingiwilta, named after the word for “powerful” in the language of the... Read more…
November 23, 2018
Russia's Ruselectronics Group, part of the state-owned Rostec corporation, has purportedly developed a compact "supercomputer" for defense applications with 2.2 Read more…
December 18, 2014
SGI was awarded a contract worth $30,750,000 to supply the Air Force Research Laboratory (AFRL) with a 3.9 petaflops SGI ICE X supercomputer. This is the second Read more…
July 16, 2014
High-performance computing is vitally important to the mission of BAE Systems, one of the largest defense, aerospace, and security contractors in the world. As Read more…
April 11, 2014
Russia is said to be developing a home-grown supercomputer for military-industrial applications, according to a report in Prensa Latina. Ruselectronics CEO And Read more…
March 4, 2011
The new Cray XE6 system is the DOD's largest. Read more…
September 22, 2010
High-performance computing (HPC) isn't restricted to computer rooms. It is also found "embedded" within expensive gadgets. For example, it is at your local hospital inside the CAT and MR scanners. It is inspecting new semiconductors. It is inside defense RADAR and signals intelligence platforms. In fact, the market for embedded HPC is thought to be about the same size as the market for supercomputers. Read more…
October 8, 2009
Wheeling, West Virginia will house military supercomputer. Read more…
Making the Most of Today’s Cloud-First Approach to Running HPC and AI Workloads With Penguin Scyld Cloud Central™
Bursting to cloud has long been used to complement on-premises HPC capacity to meet variable compute demands. But in today’s age of cloud, many workloads start on the cloud with little IT or corporate oversight. What is needed is a way to operationalize the use of these cloud resources so that users get the compute power they need when they need it, but with constraints that take costs and the efficient use of existing compute power into account. Download this special report to learn more about this topic.
Data center infrastructure running AI and HPC workloads requires powerful microprocessor chips and the use of CPUs, GPUs, and acceleration chips to carry out compute intensive tasks. AI and HPC processing generate excessive heat which results in higher data center power consumption and additional data center costs.
Data centers traditionally use air cooling solutions including heatsinks and fans that may not be able to reduce energy consumption while maintaining infrastructure performance for AI and HPC workloads. Liquid cooled systems will be increasingly replacing air cooled solutions for data centers running HPC and AI workloads to meet heat and performance needs.
QCT worked with Intel to develop the QCT QoolRack, a rack-level direct-to-chip cooling solution which meets data center needs with impressive cooling power savings per rack over air cooled solutions, and reduces data centers’ carbon footprint with QCT QoolRack smart management.
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